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Diagnosing hereditary cancer predisposition in men with prostate cancer

Overview of attention for article published in Genetics in Medicine, May 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

twitter
43 tweeters
facebook
2 Facebook pages

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
24 Mendeley
Title
Diagnosing hereditary cancer predisposition in men with prostate cancer
Published in
Genetics in Medicine, May 2020
DOI 10.1038/s41436-020-0830-5
Pubmed ID
Authors

Mary Pritzlaff, Yuan Tian, Patrick Reineke, A. J. Stuenkel, Kyle Allen, Stephanie Gutierrez, Michelle Jackson, Jill S. Dolinsky, Holly LaDuca, Jianfeng Xu, Mary Helen Black, Brian T. Helfand

Twitter Demographics

The data shown below were collected from the profiles of 43 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 17%
Other 4 17%
Student > Master 4 17%
Student > Ph. D. Student 3 13%
Student > Doctoral Student 2 8%
Other 5 21%
Unknown 2 8%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 46%
Medicine and Dentistry 3 13%
Nursing and Health Professions 2 8%
Agricultural and Biological Sciences 1 4%
Psychology 1 4%
Other 2 8%
Unknown 4 17%

Attention Score in Context

This research output has an Altmetric Attention Score of 25. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 September 2020.
All research outputs
#937,241
of 17,100,199 outputs
Outputs from Genetics in Medicine
#372
of 2,294 outputs
Outputs of similar age
#29,200
of 291,157 outputs
Outputs of similar age from Genetics in Medicine
#13
of 52 outputs
Altmetric has tracked 17,100,199 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,294 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.5. This one has done well, scoring higher than 83% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 291,157 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 52 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.